International Business Machines Corporation

Guoyu Tang

Zhong Su

Honglei Guo

Keke Cai

Changhua Sun

Shiwan Zhao

Enliang Xu

Li Ni Zhang

Zhili Guo

Jian Min Jiang

Lin Luo

Yue Chen

Feng Jin

Dongxu Duan

Xin Chang

Jianmin Jiang

Techniques for determining a similarity between text segments within a document comprising textual references are described. According to an example, a system comprises a memory that stores computer executable components; and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise: an identification component that identifies a reference associated with a set of text and an extraction component that extracts the reference from the set of text. The computer executable components can also comprise an embedding component that replaces the reference with a corresponding vector.

Identification of textual similarity with references

The methods, systems, and computer program products described herein provide ways to generate an informative training corpus of samples for use in machine training a high-quality sentiment analysis computer model. In some aspects, a method is disclosed including receiving a plurality of training samples, extracting semantic and sentiment elements of one or more of the training samples, generalizing the semantic and sentiment elements of the one or more of the training samples, generating an informative ranking score for one or more of the training samples based on the generalized semantic and sentiment elements, selecting informative training samples from the plurality of training samples based at least in part on the generated informative ranking scores, and adding the selected informative training samples to an informative training corpus.

Method and apparatus for informative training repository building in sentiment analysis model learning and customization

Techniques are provided for automated privacy scoring of user information. In one example, a system comprises a memory that stores computer executable components, and a processor that executes computer executable components stored in the memory. The computer executable components can comprise a privacy scoring component that employs a privacy identification model to generate a privacy score for a user and a product in the particular context based on information associated with the user and the product in the particular context. The computer executable components can also comprise a privacy enforcement component that implements one or more privacy features on the information based on the privacy score.

Determining privacy for a user and a product in a particular context

An embodiment of the invention provides a method comprising monitoring publications for regulatory changes with a monitoring device, and identifying at least one regulatory change based on the monitoring of the publications. The monitoring device monitors published comments to the identified regulatory change. A processor connected to the monitoring device identifies one or more topics and/or objects in the regulatory change and/or the published comments. An alert generating device connected to the processor generates an alert including one or more policies above a threshold level of likelihood that the policy will be affected by the regulatory change.

Automatic update detection for regulation compliance

Aspects of the present invention include a method, system and computer program product for preventing certain sensitive private or personal information of a user from being recorded or stored and/or uploaded by a third party input method editor while the user is entering information into a computer that is part of a network. The method includes a processor creating a model containing privacy information about a user of a computer; extracting the privacy information from the model; analyzing the information entered into the computer by the user; determining that the user has entered any of the privacy information into the computer; and if the processor has determined that the user has entered any of the privacy information into the computer, preventing any recording, storing or uploading of the privacy information.

Privacy protection in network input methods

In an approach for determining an available parking space, a computer accesses a streaming video. The computer identifies a vehicle and a corresponding identification characteristic within the accessed streaming video. The computer retrieves historical data associated with the identified identification characteristic, wherein the historical data includes previous parking locations. The computer determines a preferred parking space within the retrieved historical data associated with the identified identification characteristic. The computer determines whether the identified preferred parking space is available based on a parking database.

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Beijing, China

Guoyu Tang